Extending the logit-mixed logit model for a combination of random and fixed parameters

P Bansal, RA Daziano, M Achtnicht - Journal of choice modelling, 2018 - Elsevier
The logit-mixed logit (LML) model, which allows the analyst to semi-parametrically specify
the mixing distribution of preference heterogeneity, is a very recent advancement in logit …

Comparison of parametric and semiparametric representations of unobserved preference heterogeneity in logit models

P Bansal, RA Daziano, M Achtnicht - Journal of choice modelling, 2018 - Elsevier
The logit-mixed logit (LML) model is a very recent advancement in semiparametric discrete
choice models. LML represents the mixing distribution of a logit kernel as a sieve function …

Asymmetric triangular mixing densities for mixed logit models

T Dekker - Journal of choice modelling, 2016 - Elsevier
A novel method is proposed to estimate random parameter logit models using the
asymmetric triangular distribution to describe unobserved preference heterogeneity in the …

A guide to heterogeneity features captured by parametric and nonparametric mixing distributions for the mixed logit model

Y Yuan, W You, KJ Boyle - 2015 - ageconsearch.umn.edu
Unobserved heterogeneity is popularly modelled using the mixed logit model, so called
because it is a mixture of standard conditional logit models. Although the mixed logit model …

[HTML][HTML] Evaluating the predictive abilities of mixed logit models with unobserved inter-and intra-individual heterogeneity

R Krueger, M Bierlaire, RA Daziano, TH Rashidi… - Journal of choice …, 2021 - Elsevier
Mixed logit models with unobserved inter-and intra-individual heterogeneity hierarchically
extend standard mixed logit models by allowing tastes to vary randomly both across …

Mixed logit models: accuracy and software choice

JB Chang, JL Lusk - 2011 - JSTOR
Although the multinomial (or conditional) logit model (MNL) has been the standard in discr
choice econometrics for over 30 years, people have long questioned the restrictiveness of …

The order of variables, simulation noise, and accuracy of mixed logit estimates

MA Palma, DV Vedenov, D Bessler - Empirical Economics, 2020 - Springer
The simulated choice probabilities in mixed logit models are usually approximated
numerically using Halton or random draws from a multivariate mixing distribution for the …

Individual-specific point and interval conditional estimates of latent class logit parameters

M Sarrias, RA Daziano - Journal of choice modelling, 2018 - Elsevier
Within the realm of logit-type random parameter models to address unobserved
heterogeneity in preferences there are two dominant approaches: the mixed logit model …

Logit mixture with inter and intra-consumer heterogeneity and flexible mixing distributions

M Danaf, B Atasoy, M Ben-Akiva - Journal of choice modelling, 2020 - Elsevier
Logit mixture models have gained increasing interest among researchers and practitioners
because of their ability to capture unobserved taste heterogeneity. Becker et al.(2018) …

An empirical Bayes procedure for improving individual-level estimates and predictions from finite mixtures of multinomial logit models

WA Kamakura, M Wedel - Journal of Business & Economic …, 2004 - Taylor & Francis
Unobserved heterogeneity in random utility choice models can be dealt with by specifying
either a multinomial or a normal distribution of the coefficients, leading to finite mixture logit …